The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 16, 2026
Filed:
Apr. 01, 2022
Applicant:
Relativity Oda Llc, Chicago, IL (US);
Inventors:
Joseph Keslin, Munster, IN (US);
Karl Knoernschild, La Grange, IL (US);
Assignee:
RELATIVITY ODA LLC, Chicago, IL (US);
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/358 (2025.01); G06F 3/0482 (2013.01); G06F 3/0484 (2022.01); G06F 3/0485 (2022.01); G06F 16/338 (2019.01); G06F 16/34 (2019.01); G06F 16/93 (2019.01); G06F 16/957 (2019.01); G06F 16/958 (2019.01); G06F 40/103 (2020.01); G06F 40/106 (2020.01); G06F 40/123 (2020.01); G06F 40/131 (2020.01); G06Q 50/18 (2012.01); G06V 30/14 (2022.01); G06V 30/414 (2022.01); G06F 40/171 (2020.01);
U.S. Cl.
CPC ...
G06F 16/9574 (2019.01); G06F 3/0482 (2013.01); G06F 3/0484 (2013.01); G06F 3/0485 (2013.01); G06F 16/338 (2019.01); G06F 16/34 (2019.01); G06F 16/358 (2019.01); G06F 16/93 (2019.01); G06F 16/9577 (2019.01); G06F 16/986 (2019.01); G06F 40/103 (2020.01); G06F 40/106 (2020.01); G06F 40/123 (2020.01); G06F 40/131 (2020.01); G06Q 50/184 (2013.01); G06V 30/1444 (2022.01); G06V 30/414 (2022.01); G06F 40/171 (2020.01); G06F 2203/04803 (2013.01);
Abstract
Systems and methods for opening documents and incrementally loading document fragments are provided. Upon generating a user interface associated with the document, a client device may generate a document fragment model of a portion of the document for display via the user interface. As the user navigates through the document, document fragment models of additional portions of the document are predictively generated for low-latency display via the user interface.